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Serj
/
text-summarization-onnx

Transformers
ONNX
t5
text2text-generation
Model card Files Files and versions
xet
Community

Instructions to use Serj/text-summarization-onnx with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Serj/text-summarization-onnx with Transformers:

    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
    
    tokenizer = AutoTokenizer.from_pretrained("Serj/text-summarization-onnx")
    model = AutoModelForSeq2SeqLM.from_pretrained("Serj/text-summarization-onnx")
  • Notebooks
  • Google Colab
  • Kaggle
text-summarization-onnx
214 MB
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  • 1 contributor
History: 5 commits
Serj's picture
Serj
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d74654f verified almost 2 years ago
  • onnx
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  • .gitattributes
    1.52 kB
    initial commit almost 2 years ago
  • config.json
    1.49 kB
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  • generation_config.json
    112 Bytes
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  • special_tokens_map.json
    2.54 kB
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  • spiece.model
    792 kB
    xet
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  • tokenizer.json
    2.42 MB
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  • tokenizer_config.json
    20.9 kB
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